Different types of Sampling Method

Sampling Methods:-

1) Probability Sampling Method
2) Non-Probability Sampling Method

Probability Sampling Methods –

1) A simple random sample:- A simple random sample is obtained by choosing elementary units in search a way that each unit in the population has an equal chance of being selected. A simple random sample is free from sampling bias. However, using a random number table to choose the elementary units can be cumbersome. If the sample is to be collected by a person untrained in statistics, then instructions may be misinterpreted and selections may be made improperly. Instead of using a least of random numbers, data collection can be simplified by selecting say every 10th or 100th unit after the first unit has been chosen randomly as discussed below. Such a procedure is called systematic random sampling.

Sampling in Research

Sampling is the process of selecting units (e.g., people, organizations) from a population of interest so that by studying the sample we may fairly generalize our results back to the population from which they were chosen. When organizations require data they either use data collected by somebody else (secondary data), or collect it themselves (primary data). This is usually done by SAMPLING that is collecting data from a representative SAMPLE of the population they are interested in.